Beginners course if you are passionate about Artificial Intelligence & want to enter Deep Learning world using Python
What you will learn
Deep Learning and AI with Python Starting from Basic Concepts
Artificial Neurons – Building Blocks of Deep Learning and AI
Deep Convolutional Neural Networks (ResNet and AlexNet)
Learn UNet Deep Learning Encoder-Decoder Architecture
Learn PSPNet Deep Learning Architecture
Learn PAN Deep Learning Architecture
Learn Region-Based Convolutional Neural Networks (RCNNs)
Setting-up Google Colab for Writing Python Code
Data Preprocessing using different Image Transformations with Python
Deep Learning Models to Perform Single and Multi-label Image Classification
Description
Are you a beginner looking to embark on a journey into the fascinating world of Deep Learning and Artificial Intelligence (AI)? Look no further! Welcome to the world of deep learning, where cutting-edge technologies and incredible possibilities await! Our “Deep Learning & AI course with Python for Beginners” is your stepping stone into the captivating realm of artificial intelligence and machine learning. Whether you’re a novice or have some programming experience, this course will empower you with the knowledge and skills to embark on a journey that is transforming industries worldwide. As industries increasingly adopt deep learning and AI technologies, the demand for skilled professionals is soaring. By completing this course, you’ll position yourself at the forefront of one of the most dynamic and high-demand fields in tech. Unlock a world of opportunities, from AI research and data science to machine learning engineering and robotics.
Deep learning, a subset of artificial intelligence, has transcended its initial hype to become a transformative force across various fields. In healthcare, deep learning is revolutionizing disease diagnosis and treatment by analyzing medical images, such as MRIs and CT scans, with unprecedented accuracy. It is powering autonomous vehicles, enabling them to navigate complex environments safely. In finance, deep learning algorithms are used for fraud detection and stock market prediction. Natural language processing models, a part of deep learning, are behind voice assistants like Siri and chatbots that enhance customer service. Deep learning’s applications extend to the entertainment industry, where recommendation systems personalize content, and to manufacturing, where it optimizes production processes. Whether in climate science, astronomy, or e-commerce, deep learning is reshaping the future by making sense of vast datasets and uncovering insights that were once unimaginable.
Course content:
- Deep Learning and AI with Python Starting from Basic Concepts
- Artificial Neurons – Building Blocks of Deep Learning and AI
- Deep Convolutional Neural Networks (ResNet and AlexNet)
- Learn UNet Deep Learning Architectur
- Learn PSPNet Deep Learning Architecture
- Learn PAN Deep Learning Architecture
- Learn Region-Based Convolutional Neural Networks (RCNNs)
- Setting-up Google Colab for Writing Python Code
- Data Preprocessing using different Image Transformations with Python
- Deep Learning Models to Perform Single and Multi-label Image Classification
This course is tailored for individuals with little to no prior experience in deep learning or Python programming. We’ll start with the fundamentals and build your skills progressively. If you’re a student aspiring to pursue a career in artificial intelligence or machine learning, this course will provide you with a strong foundation to kickstart your journey. If you’re simply curious about the world of deep learning and want to explore its possibilities, this course is perfect for satisfying your intellectual curiosity.
Join us on this exciting journey and unlock the potential of Deep Learning and AI today! Enroll now to get started.
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